Many to-do’s:
Update gdppc data and merges to most recently available which as of today is only 2019.
Find replacement for gdppc or at least proxy fdor >2019. Perhaps fdi as % of GDP, life satisfaction, mortality < 5 years of age, access to food, sanitation.
inner_join( d_all, food_inflation, fdi )
Investigate changing violent incident bubble size.
Use xlim() to modify scatterplot. Check Equatorial Africa gdppc which looks way too big.
Here is a good plotly online reference: https://plotly-r.com/index.html
Data, Rmarkdown, and HTML files are in this Google Drive directory: https://drive.google.com/drive/folders/1-lQ8jjAp5tmDpKmCEHappn67RDyTxuOv?usp=share_link
Animation file:
casualties-life-gdppc-map-0.csv
ACLED violence:
1997-2022-violence-middle-south-east-africa.csv
World inflation: Inflation-data-world.xlsx
Food inflation by country and year:
food_long.csv
FDI as % of GDP by country and year:
fdi_long.csv